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Comparison of naïve, Kenward-Roger, and parametric bootstrap interval approaches to small-sample inference in linear mixed models.

Vincent S. Staggs
Published in: Commun. Stat. Simul. Comput. (2017)
Keyphrases
  • small sample
  • probabilistic model
  • sample size
  • bayesian classifiers
  • data sets
  • machine learning
  • model selection
  • machine learning algorithms
  • bayes classification
  • classification models
  • learning models